BMC Medical Informatics and Decision Making

Papers
(The TQCC of BMC Medical Informatics and Decision Making is 8. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-06-01 to 2025-06-01.)
ArticleCitations
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures263
Value of normative belief in intention to use workplace health promotion apps263
Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks207
The development and phase 1 evaluation of a Decision Aid for elective egg freezing157
Evaluation of an ARF diagnosis calculator: a survey and content analysis143
Whole-cycle management of women with epilepsy of child-bearing age: ontology construction and application141
Prediction of lymphedema occurrence in patients with breast cancer using the optimized combination of ensemble learning algorithm and feature selection128
Patients’ views of shared decision making in inflammatory bowel disease: a survey in China116
Providing evidence-based knowledge on nursing interventions at the point of care: findings from a mapping project105
Improving computerized decision support system interventions: a qualitative study combining the theoretical domains framework with the GUIDES Checklist99
Patients’ and plastic surgeons’ experiences with an online patient decision aid for breast reconstruction: considerations for nationwide implementation98
Analytical validation of Exandra: a clinical decision support system for promoting guideline-directed therapy of type-2 diabetes in primary care – a collaborative study with experts from Diabetes Cana83
A retrospective analysis using comorbidity detecting algorithmic software to determine the incidence of International Classification of Diseases (ICD) code omissions and appropriateness of Diagnosis-R79
Detecting cognitive impairment in cerebrovascular disease using gait, dual tasks, and machine learning79
Deep learning-based classification of dementia using image representation of subcortical signals78
Insights into prescribing patterns for antidepressants: an evidence-based analysis71
A treatment recommender clinical decision support system for personalized medicine: method development and proof-of-concept for drug resistant tuberculosis67
Learning from low-rank multimodal representations for predicting disease-drug associations65
Mortality and morbidity patterns in Yaoundé, Cameroon: an ICD-11 classification-based analysis63
Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms63
Creation of clinical algorithms for decision-making in oncology: an example with dose prescription in radiation oncology62
Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers61
Using artificial intelligence to identify patients with migraine and associated symptoms and conditions within electronic health records60
Early prediction of mortality upon intensive care unit admission59
Lactate dehydrogenase to albumin ratio and poor prognosis after thrombolysis in ischemic stroke patients: developing a novel nomogram52
Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering51
Construction and SHAP interpretability analysis of a risk prediction model for feeding intolerance in preterm newborns based on machine learning51
SEM model analysis of diabetic patients’ acceptance of artificial intelligence for diabetic retinopathy50
Validation of a computerized decision support system to review pharmacotherapy treatment: scheduling guidelines47
Real-time non-invasive hemoglobin prediction using deep learning-enabled smartphone imaging47
Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning47
In silico clinical trials for relapsing-remitting multiple sclerosis with MS TreatSim47
Building a trustworthy AI differential diagnosis application for Crohn’s disease and intestinal tuberculosis46
An exploration into physician and surgeon data sensemaking: a qualitative systematic review using thematic synthesis46
Cervical cancer screening uptake and its associated factor in Sub-Sharan Africa: a machine learning approach45
From algorithms to action: improving patient care requires causality43
A particle swarm optimization improved BP neural network intelligent model for electrocardiogram classification43
Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models43
Mean generation function model in AIDS epidemic estimation42
Using the technology acceptance model to assess clinician perceptions and experiences with a rheumatoid arthritis outcomes dashboard: qualitative study42
Interoperability of heterogeneous health information systems: a systematic literature review42
Participant characteristics and reasons for non-consent to health information linkage for research: experiences from the ATHENA COVID-19 study42
Predicting perinatal mortality based on maternal health status and health insurance service using homogeneous ensemble machine learning methods40
MODILM: towards better complex diseases classification using a novel multi-omics data integration learning model38
The protocol of DECO-MOM: a clinical trial testing the effectiveness of a mobile application for an environmental health intervention among pregnant women38
Automated machine learning for early prediction of systemic inflammatory response syndrome in acute pancreatitis38
Only the anxious ones? Identifying characteristics of symptom checker app users: a cross-sectional survey38
Principles of digital professionalism for the metaverse in healthcare37
Predicting blood transfusion demand in intensive care patients after surgery by comparative analysis of temporally extended data selection36
Correction to: Adaptation and validation of a coding algorithm for the Charlson Comorbidity Index in administrative claims data using the SNOMED CT standardized vocabulary35
PheNominal: an EHR-integrated web application for structured deep phenotyping at the point of care34
Correction: Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic34
Analysis and knowledge extraction of newborn resuscitation activities from annotation files34
Validation of the German eHealth impact questionnaire for online health information users affected by multiple sclerosis33
A qualitative analysis of algorithm-based decision support usability testing for symptom management across the trajectory of cancer care: one size does not fit all33
Predicting miRNA-disease associations via layer attention graph convolutional network model32
Cardiovascular disease incidence prediction by machine learning and statistical techniques: a 16-year cohort study from eastern Mediterranean region32
Effects of a smartphone application named “Shared Decision Making Assistant” for informed patients with primary liver cancer in decision-making in China: a quasi-experimental study32
Development and usability evaluation of a mHealth application for albinism self-management31
Differences in changes of data completeness after the implementation of an electronic medical record in three surgical departments of a German hospital–a longitudinal comparative document analysis31
The Infomóvel—An information system for managing HIV/AIDS patients in rural areas of Mozambique31
Application of artificial intelligence medical imaging aided diagnosis system in the diagnosis of pulmonary nodules31
Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods30
Modified multiscale Renyi distribution entropy for short-term heart rate variability analysis30
Deep learning model for multi-classification of infectious diseases from unstructured electronic medical records30
Enhanced ovarian cancer survival prediction using temporal analysis and graph neural networks29
Machine learning for the prediction of sepsis-related death: a systematic review and meta-analysis29
Explaining multivariate molecular diagnostic tests via Shapley values29
Factors associated with nurses' user resistance to change of electronic health record systems28
Machine learning approach for the detection of vitamin D level: a comparative study28
Identifying and evaluating clinical subtypes of Alzheimer’s disease in care electronic health records using unsupervised machine learning28
Retrospective descriptive assessment of clinical decision support medication-related alerts in two Saudi Arabian hospitals28
Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical records28
Conceptual design of a generic data harmonization process for OMOP common data model27
Machine learning-based models for the prediction of breast cancer recurrence risk27
Interpretable machine-learning model for Predicting the Convalescent COVID-19 patients with pulmonary diffusing capacity impairment26
Machine learning algorithms to predict intraoperative hemorrhage in surgical patients: a modeling study of real-world data in Shanghai, China26
A novel smartphone application for the tracking of procedural numbers and trainee experience in gastrointestinal endoscopy26
Deep learning-driven modality imputation and subregion segmentation to enhance high-grade glioma grading26
The most used questionnaires for evaluating satisfaction, usability, acceptance, and quality outcomes of mobile health26
Development and validation of an instrument to evaluate the perspective of using the electronic health record in a hospital setting26
De-identified Bayesian personal identity matching for privacy-preserving record linkage despite errors: development and validation25
Comparing machine learning algorithms to predict 5-year survival in patients with chronic myeloid leukemia25
Exploring parental factors influencing low birth weight on the 2022 CDC natality dataset25
Extracting the latent needs of dementia patients and caregivers from transcribed interviews in japanese: an initial assessment of the availability of morpheme selection as input data with Z-scores in 25
Adolescent, parent, and provider attitudes toward a machine learning based clinical decision support system for selecting treatment for youth depression25
The social experience of uncertainty: a qualitative analysis of emergency department care for suspected pneumonia for the design of decision support24
Communicating the results of risk-based breast cancer screening through visualizations of risk: a participatory design approach23
Prognosis patients with COVID-19 using deep learning23
Data privacy-aware machine learning approach in pancreatic cancer diagnosis23
A novel explainable machine learning-based healthy ageing scale23
Healthcare dashboard technologies and data visualization for lipid management: A scoping review23
Usability evaluation of electronic health records at the trauma and emergency directorates at the Komfo Anokye teaching hospital in the Ashanti region of Ghana23
Prediction of amyloid PET positivity via machine learning algorithms trained with EDTA-based blood amyloid-β oligomerization data23
CardioGraph: a platform to study variations associated with familiar cardiopathies23
Harnessing computational tools of the digital era for enhanced infection control22
Machine learning algorithms for predicting PTSD: a systematic review and meta-analysis22
Effect of short message service reminders in improving optimal antenatal care, skilled birth attendance and postnatal care in low-and middle-income countries: a systematic review and meta-analysis22
The effect of capacity building evidence-based medicine training on its implementation among healthcare professionals in Southwest Ethiopia: a controlled quasi-experimental outcome evaluation22
Predicting atrial fibrillation episodes with rapid ventricular rates associated with low levels of activity22
Bayesian learning-based agent negotiation model to support doctor-patient shared decision making22
Identification of clinical factors related to prediction of alcohol use disorder from electronic health records using feature selection methods22
Identification of confounders and estimating the causal effect of place of birth on age-specific childhood vaccination22
Understanding cancer patient cohorts in virtual reality environment for better clinical decisions: a usability study22
AMFormulaS: an intelligent retrieval system for traditional Chinese medicine formulas21
Secondary use of health records for prediction, detection, and treatment planning in the clinical decision support system: a systematic review21
Development and user testing of a patient decision aid for cancer patients considering treatment for anxiety or depression21
Automatic RadLex coding of Chinese structured radiology reports based on text similarity ensemble21
Factors affecting the survival of prediabetic patients: comparison of Cox proportional hazards model and random survival forest method21
Chinese medical entity recognition based on the dual-branch TENER model21
Drug closed-loop management system using mobile technology21
Development of a machine learning-based acuity score prediction model for virtual care settings21
Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes21
2.5D MFFAU-Net: a convolutional neural network for kidney segmentation21
Kernel principal components based cascade forest towards disease identification with human microbiota21
YouTube as a source of information during the Covid-19 pandemic: a content analysis of YouTube videos published during January to March 202020
The perceived importance of prognostic aspects considered by physicians during work disability evaluation: a survey20
ICD-11: an international classification of diseases for the twenty-first century20
Requirements and challenges of hospital dashboards: a systematic literature review20
Machine learning algorithms for predicting low birth weight in Ethiopia20
Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic20
Creating a data warehouse to support monitoring of NSQHS blood management standard from EMR data19
A risk prediction model based on machine learning algorithm for parastomal hernia after permanent colostomy19
The validity of electronic health data for measuring smoking status: a systematic review and meta-analysis19
Exploring the potential of ChatGPT in medical dialogue summarization: a study on consistency with human preferences19
Development and perceived usability evaluation of an interactive smartphone application for the teaching of hemodynamics and evaluation of arterial pulse pressure variation19
Machine learning based model for the early detection of Gestational Diabetes Mellitus19
A nomogram for predicting sepsis-associated delirium: a retrospective study in MIMIC III19
Machine learning models for predicting in-hospital mortality from acute pancreatitis in intensive care unit19
Context factors in clinical decision-making: a scoping review19
Use of diagnostic likelihood ratio of outcome to evaluate misclassification bias in the planning of database studies18
Optimizing protein sequence classification: integrating deep learning models with Bayesian optimization for enhanced biological analysis18
Development and evaluation of regression tree models for predicting in-hospital mortality of a national registry of COVID-19 patients over six pandemic surges18
An effective multi-step feature selection framework for clinical outcome prediction using electronic medical records18
Applying nonlinear measures to the brain rhythms: an effective method for epilepsy diagnosis18
Precision cancer medicine and the doctor-patient relationship: a systematic review and narrative synthesis18
Designing and evaluating a mobile app to assist patients undergoing coronary angiography and assessing its impact on anxiety, stress levels, and self-care18
Correction: Weight management personas of breast cancer patients undergoing chemotherapy in China: a multi-method study18
Adapted time-varying covariates Cox model for predicting future cirrhosis development performs well in a large hepatitis C cohort18
A pseudonymized corpus of occupational health narratives for clinical entity recognition in Spanish18
Retinal vein occlusion risk prediction without fundus examination using a no-code machine learning tool for tabular data: a nationwide cross-sectional study from South Korea18
Modeling-based design of adaptive control strategy for the effective preparation of ‘Disease X’18
Evaluating breast cancer websites targeting Arabic speakers: empirical investigation of popularity, availability, accessibility, readability, and quality17
The association between video or telephone telemedicine visit type and orders in primary care17
Haematology dimension reduction, a large scale application to regular care haematology data17
Implementation of digital remote postoperative monitoring in routine practice: a qualitative study of barriers and facilitators17
Machine learning algorithms’ accuracy in predicting kidney disease progression: a systematic review and meta-analysis17
Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening17
A national platform for advancing self-care processes for the most common illnesses and conditions: designing, evaluating, and implementing17
Developing machine learning-based models to predict intrauterine insemination (IUI) success by address modeling challenges in imbalanced data and providing modification solutions for them17
Ensemble learning for the early prediction of neonatal jaundice with genetic features17
The willingness to continue using wearable devices among the elderly: SEM and FsQCA analysis17
Quantifying the impact of addressing data challenges in prediction of length of stay17
Exploring the role of Artificial Intelligence in Acute Kidney Injury management: a comprehensive review and future research agenda17
Development, comparison, and internal validation of prediction models to determine the visual prognosis of patients with open globe injuries using machine learning approaches17
Systematic review and meta-analysis of workload among medical records coders in China17
Optimising ePrescribing in hospitals through the interoperability of systems and processes: a qualitative study in the UK, US, Norway and the Netherlands17
Participatory methods in a digital setting: experiences from the co-creation of an eHealth tool for people with chronic obstructive pulmonary disease16
Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy16
Predictive value of machine learning for the progression of gestational diabetes mellitus to type 2 diabetes: a systematic review and meta-analysis16
Intelligent virtual case learning system based on real medical records and natural language processing16
The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review16
Application of machine learning techniques for predicting survival in ovarian cancer16
A machine learning classifier approach for identifying the determinants of under-five child undernutrition in Ethiopian administrative zones16
An evaluation of GPT models for phenotype concept recognition16
Factors influencing online orthopedic doctor–patient consultations16
Quantum algorithm for quicker clinical prognostic analysis: an application and experimental study using CT scan images of COVID-19 patients16
Prevention and control of urinary tract stones using a smartphone-based self-care application: design and evaluation16
Mining comorbidities of opioid use disorder from FDA adverse event reporting system and patient electronic health records16
ECG signal classification based on deep CNN and BiLSTM16
Optimizing emergency department efficiency: a comparative analysis of process mining and simulation models to mitigate overcrowding and waiting times15
Identifying drug-related attributes to personalise antihypertensive agents: the outcome report of patients receiving metoprolol therapy15
Automated extraction of information of lung cancer staging from unstructured reports of PET-CT interpretation: natural language processing with deep-learning15
Patient values in patient-provider communication about participation in early phase clinical cancer trials: a qualitative analysis before and after implementation of an online value clarification tool15
The development of a decision aid to support Hodgkin lymphoma survivors considering lung cancer screening15
%diag_test: a generic SAS macro for evaluating diagnostic accuracy measures for multiple diagnostic tests15
Risk-adjusted zero-inflated Poisson CUSUM charts for monitoring influenza surveillance data15
Descriptive forest: experiments on a novel tree-structure-generalization method for describing cardiovascular diseases15
Trusted sources of information on COVID-19 vaccine in Uganda15
The coming Omicron waves and factors affecting its spread after China reopening borders15
A novel EEG-based major depressive disorder detection framework with two-stage feature selection15
Correction: Diagnosis of cardiac abnormalities based on phonocardiogram using a novel fuzzy matching feature extraction method15
A mental models approach for defining explainable artificial intelligence15
Enriching limited information on rare diseases from heterogeneous networks for drug repositioning15
Predicting angiographic coronary artery disease using machine learning and high-frequency QRS15
Fuzzy constraint-based agent negotiation framework for doctor-patient shared decision-making15
An interactive dashboard for analyzing user interaction patterns in the i2b2 clinical data warehouse15
Data quality and associated factors in the health management information system at health centers in Shashogo district, Hadiya zone, southern Ethiopia, 202114
Health information systems in developing countries: case of African countries14
Community perspectives on the use of electronic health data to support reflective practice by health professionals14
Development of a quantitative index system for evaluating the quality of electronic medical records in disease risk intelligent prediction14
Overall performance of a drug–drug interaction clinical decision support system: quantitative evaluation and end-user survey14
Research, development, and evaluation of the practical effect of a storage inflow and outflow management system for consumables in the endocrinology department of a hospital14
A machine learning approach to determine the risk factors for fall in multiple sclerosis14
Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study14
Using provocative design to foster electronic informed consent innovation14
Real-time estimation of the remaining surgery duration for cataract surgery using deep convolutional neural networks and long short-term memory14
Document-level medical relation extraction via edge-oriented graph neural network based on document structure and external knowledge14
Comparing the performance of machine learning and conventional models for predicting atherosclerotic cardiovascular disease in a general Chinese population14
Automatic data extraction to support meta-analysis statistical analysis: a case study on breast cancer14
Use of multidimensional item response theory methods for dementia prevalence prediction: an example using the Health and Retirement Survey and the Aging, Demographics, and Memory Study14
Clinical decision making under uncertainty: a bootstrapped counterfactual inference approach14
Prediction of central venous catheter-associated deep venous thrombosis in pediatric critical care settings14
A SuperLearner approach for predicting diabetic kidney disease upon the initial diagnosis of T2DM in hospital14
Non-invasive arterial blood pressure measurement and SpO2 estimation using PPG signal: a deep learning framework14
Evaluating the usability of Iran’s national comprehensive health information system: a think-aloud study to uncover usability problems in the recording of childcare data14
Multimodal deep learning-based diagnostic model for BPPV14
Optimization of vision transformer-based detection of lung diseases from chest X-ray images14
DREAMER: a computational framework to evaluate readiness of datasets for machine learning14
Artificial intelligence of digital morphology analyzers improves the efficiency of manual leukocyte differentiation of peripheral blood14
TECRR: a benchmark dataset of radiological reports for BI-RADS classification with machine learning, deep learning, and large language model baselines13
Development and evaluation of uncertainty quantifying machine learning models to predict piperacillin plasma concentrations in critically ill patients13
An implementation framework and a feasibility evaluation of a clinical decision support system for diabetes management in secondary mental healthcare using CogStack13
How successful is the CatBoost classifier in diagnosing different dental anomalies in patients via sella turcica and vertebral morphologic alteration?13
Prediction of unplanned 30-day readmission for ICU patients with heart failure13
Intelligent identification system of gastric stromal tumors based on blood biopsy indicators13
An informatics consult approach for generating clinical evidence for treatment decisions13
The future of medical scribes documenting in the electronic health record: results of an expert consensus conference13
Towards interpretable sleep stage classification with a multi-stream fusion network13
Enhancing post-traumatic stress disorder patient assessment: leveraging natural language processing for research of domain criteria identification using electronic medical records13
Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals13
Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal13
Factors associated with the local control of brain metastases: a systematic search and machine learning application13
Explainable prediction of daily hospitalizations for cerebrovascular disease using stacked ensemble learning13
Analyzing the medical record homepages quality in a Chinese EMR system13
A deep semantic segmentation correction network for multi-model tiny lesion areas detection13
CRISP: A causal relationships-guided deep learning framework for advanced ICU mortality prediction13
A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure13
Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings13
Continuous prediction for tumor mutation burden based on transcriptional data in gastrointestinal cancers13
Influencing mechanism of the use behavior of clinical practice guidelines on antimicrobials: evidence from the integration of theory of reasoned action and organizational readiness for change13
Exploring the performance and explainability of fine-tuned BERT models for neuroradiology protocol assignment12
Modeling count data for health care utilization: an empirical study of outpatient visits among Vietnamese older people12
Design and evaluation of a mobile-based nutrition education application for infertile women in Iran12
Prediction of adverse pregnancy outcomes using machine learning techniques: evidence from analysis of electronic medical records data in Rwanda12
Operationalizing and digitizing person-centered daily functioning: a case for functionomics12
Development of a mobile application to represent food intake in inpatients: dietary data systematization12
Development and validation of a machine learning model to predict hemostatic intervention in patients with acute upper gastrointestinal bleeding12
Automatic segmentation of 15 critical anatomical labels and measurements of cardiac axis and cardiothoracic ratio in fetal four chambers using nnU-NetV212
Medical-informed machine learning: integrating prior knowledge into medical decision systems12
Predicting decompression surgery by applying multimodal deep learning to patients’ structured and unstructured health data12
Exploration of the optimal deep learning model for english-Japanese machine translation of medical device adverse event terminology12
Development and evaluation of a whole-chain management system for critical value reporting12
Evaluation and comparison of errors on nursing notes created by online and offline speech recognition technology and handwritten: an interventional study12
Utilization of patient portals: a cross-sectional study investigating associations with mobile app quality12
Building a knowledge base for colorectal cancer patient care using formal concept analysis12
Memory rehabilitation during the COVID-19 pandemic12
Knowledge-point classification using simple LSTM-based and siamese-based networks for virtual patient simulation12
Screening for severe coronary stenosis in patients with apparently normal electrocardiograms based on deep learning12
Development, implementation, and evaluation of neonatal thermoregulation decision support web application12
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